Overview

Brought to you by YData

Dataset statistics

Number of variables	31
Number of observations	100000
Missing cells	200
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	65.8 MiB
Average record size in memory	690.1 B

Variable types

Text	2
Categorical	13
Numeric	14
DateTime	1
Unsupported	1

Alerts

`avg_monthly_balance` is highly overall correlated with `pca_1` and 1 other fields	High correlation
`cluster` is highly overall correlated with `cluster_label`	High correlation
`cluster_label` is highly overall correlated with `cluster`	High correlation
`credit_to_income` is highly overall correlated with `income` and 5 other fields	High correlation
`income` is highly overall correlated with `credit_to_income` and 4 other fields	High correlation
`income_credit_interaction` is highly overall correlated with `credit_to_income` and 4 other fields	High correlation
`income_log` is highly overall correlated with `credit_to_income` and 4 other fields	High correlation
`loan_amount` is highly overall correlated with `credit_to_income` and 2 other fields	High correlation
`loan_approved` is highly overall correlated with `potential_data_leakage`	High correlation
`loan_log` is highly overall correlated with `credit_to_income` and 2 other fields	High correlation
`pca_1` is highly overall correlated with `avg_monthly_balance` and 3 other fields	High correlation
`pca_2` is highly overall correlated with `credit_to_income` and 5 other fields	High correlation
`potential_data_leakage` is highly overall correlated with `loan_approved`	High correlation
`transaction_amount` is highly overall correlated with `transaction_type`	High correlation
`transaction_type` is highly overall correlated with `transaction_amount`	High correlation
`txn_intensity` is highly overall correlated with `avg_monthly_balance`	High correlation
`credit_to_income` is highly skewed (γ1 = 49.72325454)	Skewed
`txn_intensity` is highly skewed (γ1 = -25.32234104)	Skewed
`month` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`loan_amount` has 3000 (3.0%) zeros	Zeros
`loan_log` has 3000 (3.0%) zeros	Zeros
`credit_to_income` has 3000 (3.0%) zeros	Zeros

Reproduction

Analysis started	2025-04-14 16:48:51.608993
Analysis finished	2025-04-14 16:49:12.589397
Duration	20.98 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

customer_id
Text

Distinct	2500
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	6.3 MiB

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	900000
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CUST00001
2nd row	CUST00001
3rd row	CUST00001
4th row	CUST00001
5th row	CUST00001

Value	Count	Frequency (%)
cust00001	40	< 0.1%
cust00020	40	< 0.1%
cust00039	40	< 0.1%
cust00008	40	< 0.1%
cust00010	40	< 0.1%
cust00012	40	< 0.1%
cust00014	40	< 0.1%
cust00017	40	< 0.1%
cust00019	40	< 0.1%
cust00023	40	< 0.1%
Other values (2490)	99600	99.6%

Most occurring characters

Value	Count	Frequency (%)
0	141600	15.7%
C	100000	11.1%
U	100000	11.1%
S	100000	11.1%
T	100000	11.1%
1	41560	4.6%
4	41440	4.6%
3	40640	4.5%
8	40640	4.5%
7	40560	4.5%
Other values (4)	153560	17.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	900000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	141600	15.7%
C	100000	11.1%
U	100000	11.1%
S	100000	11.1%
T	100000	11.1%
1	41560	4.6%
4	41440	4.6%
3	40640	4.5%
8	40640	4.5%
7	40560	4.5%
Other values (4)	153560	17.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	900000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	141600	15.7%
C	100000	11.1%
U	100000	11.1%
S	100000	11.1%
T	100000	11.1%
1	41560	4.6%
4	41440	4.6%
3	40640	4.5%
8	40640	4.5%
7	40560	4.5%
Other values (4)	153560	17.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	900000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	141600	15.7%
C	100000	11.1%
U	100000	11.1%
S	100000	11.1%
T	100000	11.1%
1	41560	4.6%
4	41440	4.6%
3	40640	4.5%
8	40640	4.5%
7	40560	4.5%
Other values (4)	153560	17.1%

account_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.1 MiB

Checking	33960
Salary	33600
Savings	32440

Length

Max length	8
Median length	7
Mean length	7.0036
Min length	6

Characters and Unicode

Total characters	700360
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Checking
2nd row	Checking
3rd row	Checking
4th row	Checking
5th row	Checking

Common Values

Value	Count	Frequency (%)
Checking	33960	34.0%
Salary	33600	33.6%
Savings	32440	32.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
checking	33960	34.0%
salary	33600	33.6%
savings	32440	32.4%

Most occurring characters

Value	Count	Frequency (%)
a	99640	14.2%
i	66400	9.5%
n	66400	9.5%
g	66400	9.5%
S	66040	9.4%
C	33960	4.8%
h	33960	4.8%
e	33960	4.8%
c	33960	4.8%
k	33960	4.8%
Other values (5)	165680	23.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	700360	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	99640	14.2%
i	66400	9.5%
n	66400	9.5%
g	66400	9.5%
S	66040	9.4%
C	33960	4.8%
h	33960	4.8%
e	33960	4.8%
c	33960	4.8%
k	33960	4.8%
Other values (5)	165680	23.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	700360	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	99640	14.2%
i	66400	9.5%
n	66400	9.5%
g	66400	9.5%
S	66040	9.4%
C	33960	4.8%
h	33960	4.8%
e	33960	4.8%
c	33960	4.8%
k	33960	4.8%
Other values (5)	165680	23.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	700360	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	99640	14.2%
i	66400	9.5%
n	66400	9.5%
g	66400	9.5%
S	66040	9.4%
C	33960	4.8%
h	33960	4.8%
e	33960	4.8%
c	33960	4.8%
k	33960	4.8%
Other values (5)	165680	23.7%

income
Real number (ℝ)

High correlation

Distinct	2375
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49958.179

Minimum	-10969.05
Maximum	106662.35
Zeros	0
Zeros (%)	0.0%
Negative	200
Negative (%)	0.2%
Memory size	781.4 KiB

Quantile statistics

Minimum	-10969.05
5-th percentile	25439.431
Q1	40262.615
median	50074.445
Q3	60051.6
95-th percentile	74269.95
Maximum	106662.35
Range	117631.4
Interquartile range (IQR)	19788.985

Descriptive statistics

Standard deviation	14973.502
Coefficient of variation (CV)	0.29972073
Kurtosis	0.35824293
Mean	49958.179
Median Absolute Deviation (MAD)	9900.69
Skewness	-0.062855809
Sum	4.9958179 × 10⁹
Variance	2.2420576 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50074.445	5040	5.0%
38985.86	40	< 0.1%
30401.1	40	< 0.1%
76327.72	40	< 0.1%
63600.74	40	< 0.1%
66584.91	40	< 0.1%
47304.1	40	< 0.1%
46787.36	40	< 0.1%
49572.1	40	< 0.1%
60738.07	40	< 0.1%
Other values (2365)	94600	94.6%

Value	Count	Frequency (%)
-10969.05	40	< 0.1%
-10286.82	40	< 0.1%
-4293.06	40	< 0.1%
-1813.82	40	< 0.1%
-808.52	40	< 0.1%
38.21	40	< 0.1%
4735.3	40	< 0.1%
9790.83	40	< 0.1%
10187.56	40	< 0.1%
10293.32	40	< 0.1%

Value	Count	Frequency (%)
106662.35	40	< 0.1%
103346.87	40	< 0.1%
102705.14	40	< 0.1%
98447.44	40	< 0.1%
98239.21	40	< 0.1%
97233.45	40	< 0.1%
96698.78	40	< 0.1%
94039.62	40	< 0.1%
93755.49	40	< 0.1%
93420.26	40	< 0.1%

credit_score
Real number (ℝ)

Distinct	264
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	680.5408

Minimum	517
Maximum	855
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	517
5-th percentile	604
Q1	649
median	680
Q3	711
95-th percentile	761.05
Maximum	855
Range	338
Interquartile range (IQR)	62

Descriptive statistics

Standard deviation	47.493398
Coefficient of variation (CV)	0.069787731
Kurtosis	0.20725817
Mean	680.5408
Median Absolute Deviation (MAD)	31
Skewness	0.065335142
Sum	68054080
Variance	2255.6229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
680	6200	6.2%
656	1200	1.2%
695	1080	1.1%
705	1000	1.0%
679	960	1.0%
706	920	0.9%
713	880	0.9%
711	880	0.9%
703	880	0.9%
660	880	0.9%
Other values (254)	85120	85.1%

Value	Count	Frequency (%)
517	40	< 0.1%
525	40	< 0.1%
526	40	< 0.1%
532	40	< 0.1%
537	40	< 0.1%
539	40	< 0.1%
546	40	< 0.1%
550	40	< 0.1%
551	40	< 0.1%
552	80	0.1%

Value	Count	Frequency (%)
855	40	< 0.1%
830	40	< 0.1%
828	40	< 0.1%
827	40	< 0.1%
826	40	< 0.1%
825	40	< 0.1%
824	40	< 0.1%
822	40	< 0.1%
820	40	< 0.1%
815	40	< 0.1%

employment_status
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

Self-employed	34600
Employed	33160
Unemployed	32240

Length

Max length	13
Median length	10
Mean length	10.3748
Min length	8

Characters and Unicode

Total characters	1037480
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Self-employed
2nd row	Self-employed
3rd row	Self-employed
4th row	Self-employed
5th row	Self-employed

Common Values

Value	Count	Frequency (%)
Self-employed	34600	34.6%
Employed	33160	33.2%
Unemployed	32240	32.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
self-employed	34600	34.6%
employed	33160	33.2%
unemployed	32240	32.2%

Most occurring characters

Value	Count	Frequency (%)
e	201440	19.4%
l	134600	13.0%
m	100000	9.6%
p	100000	9.6%
o	100000	9.6%
y	100000	9.6%
d	100000	9.6%
S	34600	3.3%
f	34600	3.3%
-	34600	3.3%
Other values (3)	97640	9.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1037480	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	201440	19.4%
l	134600	13.0%
m	100000	9.6%
p	100000	9.6%
o	100000	9.6%
y	100000	9.6%
d	100000	9.6%
S	34600	3.3%
f	34600	3.3%
-	34600	3.3%
Other values (3)	97640	9.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1037480	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	201440	19.4%
l	134600	13.0%
m	100000	9.6%
p	100000	9.6%
o	100000	9.6%
y	100000	9.6%
d	100000	9.6%
S	34600	3.3%
f	34600	3.3%
-	34600	3.3%
Other values (3)	97640	9.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1037480	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	201440	19.4%
l	134600	13.0%
m	100000	9.6%
p	100000	9.6%
o	100000	9.6%
y	100000	9.6%
d	100000	9.6%
S	34600	3.3%
f	34600	3.3%
-	34600	3.3%
Other values (3)	97640	9.4%

risk_segment
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.8 MiB

Medium	33720
Low	33520
High	32760

Length

Max length	6
Median length	4
Mean length	4.3392
Min length	3

Characters and Unicode

Total characters	433920
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medium
2nd row	Medium
3rd row	Medium
4th row	Medium
5th row	Medium

Common Values

Value	Count	Frequency (%)
Medium	33720	33.7%
Low	33520	33.5%
High	32760	32.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
medium	33720	33.7%
low	33520	33.5%
high	32760	32.8%

Most occurring characters

Value	Count	Frequency (%)
i	66480	15.3%
M	33720	7.8%
e	33720	7.8%
d	33720	7.8%
u	33720	7.8%
m	33720	7.8%
L	33520	7.7%
o	33520	7.7%
w	33520	7.7%
H	32760	7.5%
Other values (2)	65520	15.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	433920	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	66480	15.3%
M	33720	7.8%
e	33720	7.8%
d	33720	7.8%
u	33720	7.8%
m	33720	7.8%
L	33520	7.7%
o	33520	7.7%
w	33520	7.7%
H	32760	7.5%
Other values (2)	65520	15.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	433920	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	66480	15.3%
M	33720	7.8%
e	33720	7.8%
d	33720	7.8%
u	33720	7.8%
m	33720	7.8%
L	33520	7.7%
o	33520	7.7%
w	33520	7.7%
H	32760	7.5%
Other values (2)	65520	15.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	433920	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	66480	15.3%
M	33720	7.8%
e	33720	7.8%
d	33720	7.8%
u	33720	7.8%
m	33720	7.8%
L	33520	7.7%
o	33520	7.7%
w	33520	7.7%
H	32760	7.5%
Other values (2)	65520	15.1%

avg_monthly_balance
Real number (ℝ)

High correlation

Distinct	2499
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20141.573

Minimum	-15218.08
Maximum	53373.82
Zeros	0
Zeros (%)	0.0%
Negative	2160
Negative (%)	2.2%
Memory size	781.4 KiB

Quantile statistics

Minimum	-15218.08
5-th percentile	3979.89
Q1	13211.865
median	19875.915
Q3	26853.403
95-th percentile	36973.173
Maximum	53373.82
Range	68591.9
Interquartile range (IQR)	13641.537

Descriptive statistics

Standard deviation	10018.577
Coefficient of variation (CV)	0.49740788
Kurtosis	-0.056890561
Mean	20141.573
Median Absolute Deviation (MAD)	6829.245
Skewness	0.043922871
Sum	2.0141573 × 10⁹
Variance	1.0037189 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23395.37	80	0.1%
13080.97	40	< 0.1%
22834.35	40	< 0.1%
7103.43	40	< 0.1%
31213.73	40	< 0.1%
16594.96	40	< 0.1%
26636.95	40	< 0.1%
20859.61	40	< 0.1%
27828.78	40	< 0.1%
37585.65	40	< 0.1%
Other values (2489)	99560	99.6%

Value	Count	Frequency (%)
-15218.08	40	< 0.1%
-11969.03	40	< 0.1%
-9995.26	40	< 0.1%
-9108.36	40	< 0.1%
-8198	40	< 0.1%
-7291.8	40	< 0.1%
-6901.33	40	< 0.1%
-6724.83	40	< 0.1%
-6702.78	40	< 0.1%
-6655.13	40	< 0.1%

Value	Count	Frequency (%)
53373.82	40	< 0.1%
51850.94	40	< 0.1%
49394.28	40	< 0.1%
47802.02	40	< 0.1%
47691.14	40	< 0.1%
47577.26	40	< 0.1%
47260.78	40	< 0.1%
46963.45	40	< 0.1%
46853.93	40	< 0.1%
46672.96	40	< 0.1%

num_transactions
Real number (ℝ)

Distinct	34
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.9356

Minimum	15
Maximum	52
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	15
5-th percentile	21
Q1	26
median	30
Q3	34
95-th percentile	39
Maximum	52
Range	37
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.3437569
Coefficient of variation (CV)	0.17850843
Kurtosis	-0.025579477
Mean	29.9356
Median Absolute Deviation (MAD)	4
Skewness	0.081991953
Sum	2993560
Variance	28.555738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
28	7800	7.8%
29	7400	7.4%
30	7080	7.1%
31	6960	7.0%
27	6960	7.0%
32	6760	6.8%
33	6120	6.1%
34	5600	5.6%
26	5440	5.4%
35	4880	4.9%
Other values (24)	35000	35.0%

Value	Count	Frequency (%)
15	120	0.1%
16	240	0.2%
17	400	0.4%
18	920	0.9%
19	880	0.9%
20	1320	1.3%
21	1560	1.6%
22	2840	2.8%
23	3280	3.3%
24	4080	4.1%

Value	Count	Frequency (%)
52	40	< 0.1%
49	40	< 0.1%
46	80	0.1%
45	200	0.2%
44	240	0.2%
43	640	0.6%
42	520	0.5%
41	920	0.9%
40	1200	1.2%
39	1400	1.4%

transaction_amount
Real number (ℝ)

High correlation

Distinct	98406
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19673.189

Minimum	50.27
Maximum	99986.39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	50.27
5-th percentile	1079.987
Q1	4767.6475
median	9338.06
Q3	25246.022
95-th percentile	75163.58
Maximum	99986.39
Range	99936.12
Interquartile range (IQR)	20478.375

Descriptive statistics

Standard deviation	22529.583
Coefficient of variation (CV)	1.1451923
Kurtosis	2.3807118
Mean	19673.189
Median Absolute Deviation (MAD)	6901.98
Skewness	1.7338031
Sum	1.9673189 × 10⁹
Variance	5.0758213 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6410.59	4	< 0.1%
5903.81	3	< 0.1%
5422.61	3	< 0.1%
3632.84	3	< 0.1%
14496.86	3	< 0.1%
13085.33	3	< 0.1%
2255.91	3	< 0.1%
7469.16	3	< 0.1%
9975.38	3	< 0.1%
3709.57	3	< 0.1%
Other values (98396)	99969	> 99.9%

Value	Count	Frequency (%)
50.27	1	< 0.1%
50.57	1	< 0.1%
50.78	1	< 0.1%
50.97	1	< 0.1%
50.98	1	< 0.1%
51.12	1	< 0.1%
51.29	1	< 0.1%
51.5	1	< 0.1%
52.21	1	< 0.1%
52.6	1	< 0.1%

Value	Count	Frequency (%)
99986.39	1	< 0.1%
99981.98	1	< 0.1%
99979.81	1	< 0.1%
99977.77	1	< 0.1%
99975.67	1	< 0.1%
99962.27	1	< 0.1%
99956.55	1	< 0.1%
99939.32	1	< 0.1%
99933.66	1	< 0.1%
99924.21	1	< 0.1%

transaction_type
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.8 MiB

UPI	20056
Debit	20046
Credit	19992
POS	19963
ATM	19943

Length

Max length	6
Median length	3
Mean length	4.00068
Min length	3

Characters and Unicode

Total characters	400068
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ATM
2nd row	UPI
3rd row	UPI
4th row	ATM
5th row	Debit

Common Values

Value	Count	Frequency (%)
UPI	20056	20.1%
Debit	20046	20.0%
Credit	19992	20.0%
POS	19963	20.0%
ATM	19943	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
upi	20056	20.1%
debit	20046	20.0%
credit	19992	20.0%
pos	19963	20.0%
atm	19943	19.9%

Most occurring characters

Value	Count	Frequency (%)
e	40038	10.0%
i	40038	10.0%
t	40038	10.0%
P	40019	10.0%
U	20056	5.0%
I	20056	5.0%
D	20046	5.0%
b	20046	5.0%
C	19992	5.0%
r	19992	5.0%
Other values (6)	119747	29.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	400068	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	40038	10.0%
i	40038	10.0%
t	40038	10.0%
P	40019	10.0%
U	20056	5.0%
I	20056	5.0%
D	20046	5.0%
b	20046	5.0%
C	19992	5.0%
r	19992	5.0%
Other values (6)	119747	29.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	400068	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	40038	10.0%
i	40038	10.0%
t	40038	10.0%
P	40019	10.0%
U	20056	5.0%
I	20056	5.0%
D	20046	5.0%
b	20046	5.0%
C	19992	5.0%
r	19992	5.0%
Other values (6)	119747	29.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	400068	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	40038	10.0%
i	40038	10.0%
t	40038	10.0%
P	40019	10.0%
U	20056	5.0%
I	20056	5.0%
D	20046	5.0%
b	20046	5.0%
C	19992	5.0%
r	19992	5.0%
Other values (6)	119747	29.9%

transaction_date
Date

Distinct	90
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Minimum	2025-01-02 00:00:00
Maximum	2025-12-04 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

txn_location
Text

Distinct	38007
Distinct (%)	38.0%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Length

Max length	24
Median length	21
Mean length	12.04348
Min length	5

Characters and Unicode

Total characters	1204348
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20929 ?
Unique (%)	20.9%

Sample

1st row	Moralesfort
2nd row	Deborahburgh
3rd row	South Adam
4th row	Marymouth
5th row	Lake Susanmouth

Value	Count	Frequency (%)
new	7186	4.8%
east	7185	4.8%
south	7167	4.8%
west	7106	4.7%
port	7099	4.7%
lake	7062	4.7%
north	7025	4.7%
michael	558	0.4%
james	406	0.3%
david	391	0.3%
Other values (19474)	98645	65.8%

Most occurring characters

Value	Count	Frequency (%)
e	116024	9.6%
t	95027	7.9%
r	93834	7.8%
a	93521	7.8%
o	82297	6.8%
h	67413	5.6%
n	65537	5.4%
i	59673	5.0%
s	56398	4.7%
	49830	4.1%
Other values (43)	424794	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1204348	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	116024	9.6%
t	95027	7.9%
r	93834	7.8%
a	93521	7.8%
o	82297	6.8%
h	67413	5.6%
n	65537	5.4%
i	59673	5.0%
s	56398	4.7%
	49830	4.1%
Other values (43)	424794	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1204348	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	116024	9.6%
t	95027	7.9%
r	93834	7.8%
a	93521	7.8%
o	82297	6.8%
h	67413	5.6%
n	65537	5.4%
i	59673	5.0%
s	56398	4.7%
	49830	4.1%
Other values (43)	424794	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1204348	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	116024	9.6%
t	95027	7.9%
r	93834	7.8%
a	93521	7.8%
o	82297	6.8%
h	67413	5.6%
n	65537	5.4%
i	59673	5.0%
s	56398	4.7%
	49830	4.1%
Other values (43)	424794	35.3%

device_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.9 MiB

Web	33495
Branch	33288
Mobile	33217

Length

Max length	6
Median length	6
Mean length	4.99515
Min length	3

Characters and Unicode

Total characters	499515
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobile
2nd row	Web
3rd row	Branch
4th row	Branch
5th row	Branch

Common Values

Value	Count	Frequency (%)
Web	33495	33.5%
Branch	33288	33.3%
Mobile	33217	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
web	33495	33.5%
branch	33288	33.3%
mobile	33217	33.2%

Most occurring characters

Value	Count	Frequency (%)
e	66712	13.4%
b	66712	13.4%
W	33495	6.7%
B	33288	6.7%
r	33288	6.7%
a	33288	6.7%
n	33288	6.7%
c	33288	6.7%
h	33288	6.7%
M	33217	6.6%
Other values (3)	99651	19.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	499515	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	66712	13.4%
b	66712	13.4%
W	33495	6.7%
B	33288	6.7%
r	33288	6.7%
a	33288	6.7%
n	33288	6.7%
c	33288	6.7%
h	33288	6.7%
M	33217	6.6%
Other values (3)	99651	19.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	499515	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	66712	13.4%
b	66712	13.4%
W	33495	6.7%
B	33288	6.7%
r	33288	6.7%
a	33288	6.7%
n	33288	6.7%
c	33288	6.7%
h	33288	6.7%
M	33217	6.6%
Other values (3)	99651	19.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	499515	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	66712	13.4%
b	66712	13.4%
W	33495	6.7%
B	33288	6.7%
r	33288	6.7%
a	33288	6.7%
n	33288	6.7%
c	33288	6.7%
h	33288	6.7%
M	33217	6.6%
Other values (3)	99651	19.9%

has_credit_card
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

0	50560
1	49440

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	50560	50.6%
1	49440	49.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	50560	50.6%
1	49440	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	50560	50.6%
1	49440	49.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	50560	50.6%
1	49440	49.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	50560	50.6%
1	49440	49.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	50560	50.6%
1	49440	49.4%

loan_approved
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

0	50600
1	49400

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	50600	50.6%
1	49400	49.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	50600	50.6%
1	49400	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	50600	50.6%
1	49400	49.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	50600	50.6%
1	49400	49.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	50600	50.6%
1	49400	49.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	50600	50.6%
1	49400	49.4%

loan_amount
Real number (ℝ)

High correlation Zeros

Distinct	2364
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	192899.86

Minimum	0
Maximum	493705.74
Zeros	3000
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	43534.696
Q1	144999.65
median	194831.33
Q3	248171.71
95-th percentile	317601.55
Maximum	493705.74
Range	493705.74
Interquartile range (IQR)	103172.05

Descriptive statistics

Standard deviation	79278.609
Coefficient of variation (CV)	0.41098324
Kurtosis	0.16434065
Mean	192899.86
Median Absolute Deviation (MAD)	51583.17
Skewness	-0.21495432
Sum	1.9289986 × 10¹⁰
Variance	6.2850979 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3000	3.0%
194831.325	2520	2.5%
237115.06	40	< 0.1%
227446.93	40	< 0.1%
304148.93	40	< 0.1%
259514.88	40	< 0.1%
272033.41	40	< 0.1%
245999.27	40	< 0.1%
156738.55	40	< 0.1%
230617.62	40	< 0.1%
Other values (2354)	94160	94.2%

Value	Count	Frequency (%)
0	3000	3.0%
3362.64	40	< 0.1%
4238.66	40	< 0.1%
4324.61	40	< 0.1%
4366.11	40	< 0.1%
5376.96	40	< 0.1%
6105.23	40	< 0.1%
6460.15	40	< 0.1%
9081.01	40	< 0.1%
10010.47	40	< 0.1%

Value	Count	Frequency (%)
493705.74	40	< 0.1%
478715.7	40	< 0.1%
452691.55	40	< 0.1%
450780.72	40	< 0.1%
426378.25	40	< 0.1%
424249.93	40	< 0.1%
417865.54	40	< 0.1%
403457.74	40	< 0.1%
402643.53	40	< 0.1%
400216.87	40	< 0.1%

loan_purpose
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.0 MiB

Business	20680
Car	20440
Home	20080
Education	19720
Personal	19080

Length

Max length	9
Median length	8
Mean length	6.372
Min length	3

Characters and Unicode

Total characters	637200
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Personal
2nd row	Personal
3rd row	Personal
4th row	Personal
5th row	Personal

Common Values

Value	Count	Frequency (%)
Business	20680	20.7%
Car	20440	20.4%
Home	20080	20.1%
Education	19720	19.7%
Personal	19080	19.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
business	20680	20.7%
car	20440	20.4%
home	20080	20.1%
education	19720	19.7%
personal	19080	19.1%

Most occurring characters

Value	Count	Frequency (%)
s	81120	12.7%
e	59840	9.4%
n	59480	9.3%
a	59240	9.3%
o	58880	9.2%
i	40400	6.3%
u	40400	6.3%
r	39520	6.2%
B	20680	3.2%
C	20440	3.2%
Other values (8)	157200	24.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	637200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	81120	12.7%
e	59840	9.4%
n	59480	9.3%
a	59240	9.3%
o	58880	9.2%
i	40400	6.3%
u	40400	6.3%
r	39520	6.2%
B	20680	3.2%
C	20440	3.2%
Other values (8)	157200	24.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	637200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	81120	12.7%
e	59840	9.4%
n	59480	9.3%
a	59240	9.3%
o	58880	9.2%
i	40400	6.3%
u	40400	6.3%
r	39520	6.2%
B	20680	3.2%
C	20440	3.2%
Other values (8)	157200	24.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	637200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	81120	12.7%
e	59840	9.4%
n	59480	9.3%
a	59240	9.3%
o	58880	9.2%
i	40400	6.3%
u	40400	6.3%
r	39520	6.2%
B	20680	3.2%
C	20440	3.2%
Other values (8)	157200	24.7%

credit_utilization
Real number (ℝ)

Distinct	101
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.490656

Minimum	0
Maximum	1
Zeros	480
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.05
Q1	0.24
median	0.49
Q3	0.73
95-th percentile	0.94
Maximum	1
Range	1
Interquartile range (IQR)	0.49

Descriptive statistics

Standard deviation	0.28520348
Coefficient of variation (CV)	0.58126972
Kurtosis	-1.162722
Mean	0.490656
Median Absolute Deviation (MAD)	0.25
Skewness	0.042016701
Sum	49065.6
Variance	0.081341023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.21	1480	1.5%
0.49	1440	1.4%
0.61	1360	1.4%
0.1	1320	1.3%
0.57	1320	1.3%
0.47	1280	1.3%
0.26	1280	1.3%
0.54	1280	1.3%
0.85	1280	1.3%
0.6	1280	1.3%
Other values (91)	86680	86.7%

Value	Count	Frequency (%)
0	480	0.5%
0.01	1040	1.0%
0.02	880	0.9%
0.03	1080	1.1%
0.04	960	1.0%
0.05	1240	1.2%
0.06	1200	1.2%
0.07	800	0.8%
0.08	1000	1.0%
0.09	840	0.8%

Value	Count	Frequency (%)
1	400	0.4%
0.99	680	0.7%
0.98	1040	1.0%
0.97	880	0.9%
0.96	800	0.8%
0.95	880	0.9%
0.94	960	1.0%
0.93	1120	1.1%
0.92	1160	1.2%
0.91	1080	1.1%

default_history
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

1	50760
0	49240

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	50760	50.8%
0	49240	49.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	50760	50.8%
0	49240	49.2%

Most occurring characters

Value	Count	Frequency (%)
1	50760	50.8%
0	49240	49.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	50760	50.8%
0	49240	49.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	50760	50.8%
0	49240	49.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	50760	50.8%
0	49240	49.2%

branch_rating
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

4	21120
5	20720
2	20640
3	18880
1	18640

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
4	21120	21.1%
5	20720	20.7%
2	20640	20.6%
3	18880	18.9%
1	18640	18.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	21120	21.1%
5	20720	20.7%
2	20640	20.6%
3	18880	18.9%
1	18640	18.6%

Most occurring characters

Value	Count	Frequency (%)
4	21120	21.1%
5	20720	20.7%
2	20640	20.6%
3	18880	18.9%
1	18640	18.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	21120	21.1%
5	20720	20.7%
2	20640	20.6%
3	18880	18.9%
1	18640	18.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	21120	21.1%
5	20720	20.7%
2	20640	20.6%
3	18880	18.9%
1	18640	18.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	21120	21.1%
5	20720	20.7%
2	20640	20.6%
3	18880	18.9%
1	18640	18.6%

potential_data_leakage
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

0	52160
1	47840

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	52160	52.2%
1	47840	47.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	52160	52.2%
1	47840	47.8%

Most occurring characters

Value	Count	Frequency (%)
0	52160	52.2%
1	47840	47.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	52160	52.2%
1	47840	47.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	52160	52.2%
1	47840	47.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	52160	52.2%
1	47840	47.8%

pca_1
Real number (ℝ)

High correlation

Distinct	2500
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1.1368684 × 10^-18

Minimum	-3.6178642
Maximum	3.546399
Zeros	0
Zeros (%)	0.0%
Negative	49480
Negative (%)	49.5%
Memory size	781.4 KiB

Quantile statistics

Minimum	-3.6178642
5-th percentile	-1.6965701
Q1	-0.69716289
median	0.0083633478
Q3	0.69458212
95-th percentile	1.6739771
Maximum	3.546399
Range	7.1642631
Interquartile range (IQR)	1.391745

Descriptive statistics

Standard deviation	1.0258463
Coefficient of variation (CV)	-9.0234395 × 10¹⁷
Kurtosis	0.1138397
Mean	-1.1368684 × 10^-18
Median Absolute Deviation (MAD)	0.69628493
Skewness	0.015404185
Sum	1.2505552 × 10^-12
Variance	1.0523606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.2041517771	40	< 0.1%
0.02187843649	40	< 0.1%
-0.6499245679	40	< 0.1%
-0.5115197416	40	< 0.1%
2.062301976	40	< 0.1%
0.7071842468	40	< 0.1%
1.170570834	40	< 0.1%
-0.1870268049	40	< 0.1%
1.424886461	40	< 0.1%
0.5010734353	40	< 0.1%
Other values (2490)	99600	99.6%

Value	Count	Frequency (%)
-3.617864168	40	< 0.1%
-3.465897028	40	< 0.1%
-3.318677398	40	< 0.1%
-3.203900036	40	< 0.1%
-2.95564782	40	< 0.1%
-2.836249772	40	< 0.1%
-2.811685225	40	< 0.1%
-2.770784522	40	< 0.1%
-2.727102914	40	< 0.1%
-2.725494672	40	< 0.1%

Value	Count	Frequency (%)
3.546398975	40	< 0.1%
3.432779605	40	< 0.1%
3.276167244	40	< 0.1%
3.246916211	40	< 0.1%
3.152939047	40	< 0.1%
3.105105046	40	< 0.1%
3.09636372	40	< 0.1%
2.947964777	40	< 0.1%
2.941294121	40	< 0.1%
2.901912694	40	< 0.1%

pca_2
Real number (ℝ)

High correlation

Distinct	2500
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5011104 × 10^-17

Minimum	-3.3042718
Maximum	3.1381052
Zeros	0
Zeros (%)	0.0%
Negative	49080
Negative (%)	49.1%
Memory size	781.4 KiB

Quantile statistics

Minimum	-3.3042718
5-th percentile	-1.7711657
Q1	-0.66635621
median	0.033505931
Q3	0.66684176
95-th percentile	1.6164746
Maximum	3.1381052
Range	6.442377
Interquartile range (IQR)	1.333198

Descriptive statistics

Standard deviation	1.00887
Coefficient of variation (CV)	4.0336885 × 10¹⁶
Kurtosis	0.10297923
Mean	2.5011104 × 10^-17
Median Absolute Deviation (MAD)	0.66102645
Skewness	-0.12943649
Sum	1.2505552 × 10^-12
Variance	1.0178188
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.8267322674	40	< 0.1%
0.4821690638	40	< 0.1%
1.737255526	40	< 0.1%
0.4520600605	40	< 0.1%
0.06165941181	40	< 0.1%
-0.9445612927	40	< 0.1%
0.9102230024	40	< 0.1%
0.04845390424	40	< 0.1%
0.9318174168	40	< 0.1%
-0.3472561166	40	< 0.1%
Other values (2490)	99600	99.6%

Value	Count	Frequency (%)
-3.304271813	40	< 0.1%
-3.198447758	40	< 0.1%
-3.190631893	40	< 0.1%
-3.080113133	40	< 0.1%
-3.075595029	40	< 0.1%
-2.94397706	40	< 0.1%
-2.918619623	40	< 0.1%
-2.909682574	40	< 0.1%
-2.902263913	40	< 0.1%
-2.881619913	40	< 0.1%

Value	Count	Frequency (%)
3.138105178	40	< 0.1%
3.074965874	40	< 0.1%
2.983873978	40	< 0.1%
2.965653142	40	< 0.1%
2.950217337	40	< 0.1%
2.873848536	40	< 0.1%
2.870980718	40	< 0.1%
2.705246691	40	< 0.1%
2.655423754	40	< 0.1%
2.60107966	40	< 0.1%

cluster
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

1	27200
2	26800
3	24360
0	21640

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring characters

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

income_log
Real number (ℝ)

High correlation

Distinct	2370
Distinct (%)	2.4%
Missing	200
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	10.7678

Minimum	3.6689318
Maximum	11.577433
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	3.6689318
5-th percentile	10.150928
Q1	10.604605
median	10.821286
Q3	11.003189
95-th percentile	11.215611
Maximum	11.577433
Range	7.9085011
Interquartile range (IQR)	0.3985832

Descriptive statistics

Standard deviation	0.36769558
Coefficient of variation (CV)	0.034147697
Kurtosis	56.897823
Mean	10.7678
Median Absolute Deviation (MAD)	0.19398681
Skewness	-3.8171406
Sum	1074626.5
Variance	0.13520004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.82128605	5040	5.0%
10.57097995	40	< 0.1%
11.01434243	40	< 0.1%
11.10624827	40	< 0.1%
10.76437339	40	< 0.1%
10.75338973	40	< 0.1%
10.81120363	40	< 0.1%
10.32226696	40	< 0.1%
10.86965757	40	< 0.1%
11.06519263	40	< 0.1%
Other values (2360)	94400	94.4%
(Missing)	200	0.2%

Value	Count	Frequency (%)
3.668931816	40	< 0.1%
8.463011519	40	< 0.1%
9.189303643	40	< 0.1%
9.229020801	40	< 0.1%
9.239347566	40	< 0.1%
9.244125184	40	< 0.1%
9.267630499	40	< 0.1%
9.27787191	40	< 0.1%
9.329909367	40	< 0.1%
9.356579553	40	< 0.1%

Value	Count	Frequency (%)
11.57743289	40	< 0.1%
11.54585596	40	< 0.1%
11.53962718	40	< 0.1%
11.49728824	40	< 0.1%
11.49517088	40	< 0.1%
11.48488035	40	< 0.1%
11.47936641	40	< 0.1%
11.4514821	40	< 0.1%
11.44845617	40	< 0.1%
11.44487422	40	< 0.1%

loan_log
Real number (ℝ)

High correlation Zeros

Distinct	2364
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.745456

Minimum	0
Maximum	13.109697
Zeros	3000
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	10.68133
Q1	11.884493
median	12.179895
Q3	12.42188
95-th percentile	12.668556
Maximum	13.109697
Range	13.109697
Interquartile range (IQR)	0.53738676

Descriptive statistics

Standard deviation	2.1218612
Coefficient of variation (CV)	0.18065379
Kurtosis	25.198248
Mean	11.745456
Median Absolute Deviation (MAD)	0.26015095
Skewness	-5.0852944
Sum	1174545.6
Variance	4.5022948
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3000	3.0%
12.1798946	2520	2.5%
12.376305	40	< 0.1%
12.33467661	40	< 0.1%
12.62527605	40	< 0.1%
12.46657317	40	< 0.1%
12.51368384	40	< 0.1%
12.41308791	40	< 0.1%
11.96234079	40	< 0.1%
12.34852063	40	< 0.1%
Other values (2354)	94160	94.2%

Value	Count	Frequency (%)
0	3000	3.0%
8.120779	40	< 0.1%
8.352238356	40	< 0.1%
8.37230845	40	< 0.1%
8.381856742	40	< 0.1%
8.590064399	40	< 0.1%
8.71706484	40	< 0.1%
8.7735626	40	< 0.1%
9.114050813	40	< 0.1%
9.211486715	40	< 0.1%

Value	Count	Frequency (%)
13.10969698	40	< 0.1%
13.07886426	40	< 0.1%
13.02296848	40	< 0.1%
13.01873851	40	< 0.1%
12.96308449	40	< 0.1%
12.95808038	40	< 0.1%
12.94291738	40	< 0.1%
12.90782951	40	< 0.1%
12.90580939	40	< 0.1%
12.89976435	40	< 0.1%

month
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

income_credit_interaction
Real number (ℝ)

High correlation

Distinct	2459
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34016077

Minimum	-8555859
Maximum	72239462
Zeros	0
Zeros (%)	0.0%
Negative	200
Negative (%)	0.2%
Memory size	781.4 KiB

Quantile statistics

Minimum	-8555859
5-th percentile	16788952
Q1	27231788
median	34050623
Q3	40945759
95-th percentile	51241228
Maximum	72239462
Range	80795321
Interquartile range (IQR)	13713971

Descriptive statistics

Standard deviation	10534197
Coefficient of variation (CV)	0.30968289
Kurtosis	0.25726617
Mean	34016077
Median Absolute Deviation (MAD)	6848024.1
Skewness	0.01471746
Sum	3.4016077 × 10¹²
Variance	1.1096931 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34050622.6	360	0.4%
34401143.71	160	0.2%
30745709.23	120	0.1%
35402632.62	120	0.1%
33049133.7	120	0.1%
32848835.92	120	0.1%
32598463.7	120	0.1%
29744220.33	80	0.1%
31446751.46	80	0.1%
29794294.77	80	0.1%
Other values (2449)	98640	98.6%

Value	Count	Frequency (%)
-8555859	40	< 0.1%
-6346967.94	40	< 0.1%
-2696041.68	40	< 0.1%
-1209817.94	40	< 0.1%
-546559.52	40	< 0.1%
26059.22	40	< 0.1%
3627239.8	40	< 0.1%
6464204.96	40	< 0.1%
6657764.4	40	< 0.1%
6723789.6	40	< 0.1%

Value	Count	Frequency (%)
72239462.13	40	< 0.1%
70008084	40	< 0.1%
69839495.2	40	< 0.1%
69306997.76	40	< 0.1%
68903878.1	40	< 0.1%
68669207.79	40	< 0.1%
65253821.04	40	< 0.1%
64161891.69	40	< 0.1%
63861822.22	40	< 0.1%
63700325.4	40	< 0.1%

credit_to_income
Real number (ℝ)

High correlation Skewed Zeros

Distinct	2422
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.9815238

Minimum	-146.93555
Maximum	4421.2385
Zeros	3000
Zeros (%)	3.0%
Negative	200
Negative (%)	0.2%
Memory size	781.4 KiB

Quantile statistics

Minimum	-146.93555
5-th percentile	0.76716213
Q1	2.7351999
median	3.9170454
Q3	5.3352779
95-th percentile	9.0055343
Maximum	4421.2385
Range	4568.174
Interquartile range (IQR)	2.600078

Descriptive statistics

Standard deviation	88.467631
Coefficient of variation (CV)	14.790149
Kurtosis	2478.8622
Mean	5.9815238
Median Absolute Deviation (MAD)	1.2778802
Skewness	49.723255
Sum	598152.38
Variance	7826.5217
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3000	3.0%
3.890755739	200	0.2%
4.139720874	40	< 0.1%
5.342704007	40	< 0.1%
7.481290108	40	< 0.1%
5.007467681	40	< 0.1%
4.937759824	40	< 0.1%
2.76275997	40	< 0.1%
6.069575793	40	< 0.1%
2.290108463	40	< 0.1%
Other values (2412)	96480	96.5%

Value	Count	Frequency (%)
-146.9355479	40	< 0.1%
-120.8173668	40	< 0.1%
-46.40389929	40	< 0.1%
-17.87461673	40	< 0.1%
-10.59075407	40	< 0.1%
0	3000	3.0%
0.05693434884	40	< 0.1%
0.06587706707	40	< 0.1%
0.06967629903	40	< 0.1%
0.09076292571	40	< 0.1%

Value	Count	Frequency (%)
4421.23846	40	< 0.1%
59.49816312	40	< 0.1%
33.67693169	40	< 0.1%
31.2933496	40	< 0.1%
24.23378343	40	< 0.1%
23.76321732	40	< 0.1%
22.0952875	40	< 0.1%
21.82118979	40	< 0.1%
20.94962392	40	< 0.1%
20.60981454	40	< 0.1%

txn_intensity
Real number (ℝ)

High correlation Skewed

Distinct	2500
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0011140181

Minimum	-5.9649123
Maximum	3.4414946
Zeros	0
Zeros (%)	0.0%
Negative	2160
Negative (%)	2.2%
Memory size	781.4 KiB

Quantile statistics

Minimum	-5.9649123
5-th percentile	0.0006632706
Q1	0.001049692
median	0.001466099
Q3	0.0021517368
95-th percentile	0.0052566921
Maximum	3.4414946
Range	9.4064069
Interquartile range (IQR)	0.0011020448

Descriptive statistics

Standard deviation	0.13934555
Coefficient of variation (CV)	125.08373
Kurtosis	1490.2082
Mean	0.0011140181
Median Absolute Deviation (MAD)	0.00048570727
Skewness	-25.322341
Sum	111.40181
Variance	0.019417181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.002446114767	40	< 0.1%
0.001357544334	40	< 0.1%
0.001462635157	40	< 0.1%
0.003659688392	40	< 0.1%
0.001153301662	40	< 0.1%
0.001807668854	40	< 0.1%
0.001388995775	40	< 0.1%
0.001486054339	40	< 0.1%
0.001185780125	40	< 0.1%
0.0009577868738	40	< 0.1%
Other values (2490)	99600	99.6%

Value	Count	Frequency (%)
-5.964912281	40	< 0.1%
-0.4202972834	40	< 0.1%
-0.3215051203	40	< 0.1%
-0.1018564153	40	< 0.1%
-0.07884761183	40	< 0.1%
-0.07525235488	40	< 0.1%
-0.07378258731	40	< 0.1%
-0.0690157586	40	< 0.1%
-0.04340939755	40	< 0.1%
-0.03836071862	40	< 0.1%

Value	Count	Frequency (%)
3.441494592	40	< 0.1%
0.7416825599	40	< 0.1%
0.3455889412	40	< 0.1%
0.193143409	40	< 0.1%
0.1467812959	40	< 0.1%
0.09756561883	40	< 0.1%
0.09644701636	40	< 0.1%
0.07740324594	40	< 0.1%
0.07547961002	40	< 0.1%
0.06813589587	40	< 0.1%

cluster_label
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

1	27200
2	26800
3	24360
0	21640

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring characters

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	27200	27.2%
2	26800	26.8%
3	24360	24.4%
0	21640	21.6%

Interactions

Correlations

	account_type	avg_monthly_balance	branch_rating	cluster	cluster_label	credit_score	credit_to_income	credit_utilization	default_history	device_type	employment_status	has_credit_card	income	income_credit_interaction	income_log	loan_amount	loan_approved	loan_log	loan_purpose	num_transactions	pca_1	pca_2	potential_data_leakage	risk_segment	transaction_amount	transaction_type	txn_intensity
account_type	1.000	0.051	0.047	0.044	0.044	0.032	0.029	0.069	0.022	0.002	0.024	0.009	0.050	0.063	0.043	0.044	0.047	0.034	0.042	0.059	0.042	0.053	0.059	0.040	0.005	0.000	0.037
avg_monthly_balance	0.051	1.000	0.059	0.382	0.382	-0.007	0.005	0.026	0.097	0.005	0.050	0.078	0.035	0.032	0.035	0.034	0.068	0.034	0.057	0.001	0.624	0.038	0.059	0.046	-0.002	0.000	-0.805
branch_rating	0.047	0.059	1.000	0.041	0.041	0.058	0.039	0.058	0.033	0.005	0.040	0.036	0.053	0.046	0.039	0.054	0.013	0.046	0.044	0.048	0.051	0.068	0.024	0.060	0.003	0.000	0.038
cluster	0.044	0.382	0.041	1.000	1.000	0.382	0.035	0.068	0.019	0.005	0.027	0.015	0.296	0.266	0.244	0.418	0.071	0.391	0.030	0.064	0.403	0.449	0.084	0.028	0.003	0.003	0.045
cluster_label	0.044	0.382	0.041	1.000	1.000	0.382	0.035	0.068	0.019	0.005	0.027	0.015	0.296	0.266	0.244	0.418	0.071	0.391	0.030	0.064	0.403	0.449	0.084	0.028	0.003	0.003	0.045
credit_score	0.032	-0.007	0.058	0.382	0.382	1.000	0.007	-0.005	0.061	0.000	0.051	0.088	0.032	0.252	0.031	0.016	0.041	0.016	0.060	0.004	0.422	0.019	0.049	0.057	-0.002	0.000	0.007
credit_to_income	0.029	0.005	0.039	0.035	0.035	0.007	1.000	-0.023	0.020	0.000	0.028	0.019	-0.566	-0.545	-0.575	0.768	0.019	0.768	0.039	0.006	0.020	0.975	0.020	0.028	-0.005	0.000	-0.010
credit_utilization	0.069	0.026	0.058	0.068	0.068	-0.005	-0.023	1.000	0.077	0.000	0.067	0.071	0.007	0.001	0.007	-0.022	0.070	-0.022	0.051	-0.037	0.013	-0.018	0.071	0.050	-0.004	0.002	-0.016
default_history	0.022	0.097	0.033	0.019	0.019	0.061	0.020	0.077	1.000	0.004	0.024	0.026	0.045	0.025	0.034	0.049	0.032	0.021	0.028	0.059	0.052	0.045	0.027	0.036	0.003	0.000	0.034
device_type	0.002	0.005	0.005	0.005	0.005	0.000	0.000	0.000	0.004	1.000	0.003	0.001	0.003	0.002	0.000	0.000	0.000	0.001	0.002	0.000	0.000	0.000	0.000	0.000	0.003	0.005	0.000
employment_status	0.024	0.050	0.040	0.027	0.027	0.051	0.028	0.067	0.024	0.003	1.000	0.013	0.072	0.073	0.051	0.053	0.027	0.036	0.034	0.056	0.041	0.061	0.033	0.028	0.000	0.000	0.037
has_credit_card	0.009	0.078	0.036	0.015	0.015	0.088	0.019	0.071	0.026	0.001	0.013	1.000	0.034	0.059	0.025	0.076	0.028	0.041	0.040	0.052	0.061	0.048	0.018	0.015	0.000	0.004	0.034
income	0.050	0.035	0.053	0.296	0.296	0.032	-0.566	0.007	0.045	0.003	0.072	0.034	1.000	0.968	1.000	-0.006	0.079	-0.006	0.058	-0.008	0.505	-0.640	0.074	0.033	0.003	0.003	-0.020
income_credit_interaction	0.063	0.032	0.046	0.266	0.266	0.252	-0.545	0.001	0.025	0.002	0.073	0.059	0.968	1.000	0.968	-0.002	0.057	-0.002	0.055	-0.007	0.590	-0.613	0.057	0.046	0.002	0.000	-0.016
income_log	0.043	0.035	0.039	0.244	0.244	0.031	-0.575	0.007	0.034	0.000	0.051	0.025	1.000	0.968	1.000	-0.007	0.045	-0.007	0.044	-0.007	0.502	-0.638	0.045	0.037	0.002	0.000	-0.020
loan_amount	0.044	0.034	0.054	0.418	0.418	0.016	0.768	-0.022	0.049	0.000	0.053	0.076	-0.006	-0.002	-0.007	1.000	0.126	1.000	0.050	0.001	0.392	0.734	0.167	0.073	-0.006	0.002	-0.024
loan_approved	0.047	0.068	0.013	0.071	0.071	0.041	0.019	0.070	0.032	0.000	0.027	0.028	0.079	0.057	0.045	0.126	1.000	0.152	0.038	0.049	0.060	0.072	0.946	0.004	0.010	0.007	0.034
loan_log	0.034	0.034	0.046	0.391	0.391	0.016	0.768	-0.022	0.021	0.001	0.036	0.041	-0.006	-0.002	-0.007	1.000	0.152	1.000	0.042	0.001	0.392	0.734	0.174	0.036	-0.006	0.000	-0.024
loan_purpose	0.042	0.057	0.044	0.030	0.030	0.060	0.039	0.051	0.028	0.002	0.034	0.040	0.058	0.055	0.044	0.050	0.038	0.042	1.000	0.067	0.056	0.053	0.026	0.033	0.003	0.000	0.038
num_transactions	0.059	0.001	0.048	0.064	0.064	0.004	0.006	-0.037	0.059	0.000	0.056	0.052	-0.008	-0.007	-0.007	0.001	0.049	0.001	0.067	1.000	-0.004	0.008	0.048	0.049	-0.005	0.000	0.326
pca_1	0.042	0.624	0.051	0.403	0.403	0.422	0.020	0.013	0.052	0.000	0.041	0.061	0.505	0.590	0.502	0.392	0.060	0.392	0.056	-0.004	1.000	-0.005	0.061	0.045	-0.003	0.004	-0.478
pca_2	0.053	0.038	0.068	0.449	0.449	0.019	0.975	-0.018	0.045	0.000	0.061	0.048	-0.640	-0.613	-0.638	0.734	0.072	0.734	0.053	0.008	-0.005	1.000	0.116	0.057	-0.006	0.005	-0.033
potential_data_leakage	0.059	0.059	0.024	0.084	0.084	0.049	0.020	0.071	0.027	0.000	0.033	0.018	0.074	0.057	0.045	0.167	0.946	0.174	0.026	0.048	0.061	0.116	1.000	0.004	0.009	0.005	0.034
risk_segment	0.040	0.046	0.060	0.028	0.028	0.057	0.028	0.050	0.036	0.000	0.028	0.015	0.033	0.046	0.037	0.073	0.004	0.036	0.033	0.049	0.045	0.057	0.004	1.000	0.000	0.004	0.037
transaction_amount	0.005	-0.002	0.003	0.003	0.003	-0.002	-0.005	-0.004	0.003	0.003	0.000	0.000	0.003	0.002	0.002	-0.006	0.010	-0.006	0.003	-0.005	-0.003	-0.006	0.009	0.000	1.000	0.535	-0.002
transaction_type	0.000	0.000	0.000	0.003	0.003	0.000	0.000	0.002	0.000	0.005	0.000	0.004	0.003	0.000	0.000	0.002	0.007	0.000	0.000	0.000	0.004	0.005	0.005	0.004	0.535	1.000	0.002
txn_intensity	0.037	-0.805	0.038	0.045	0.045	0.007	-0.010	-0.016	0.034	0.000	0.037	0.034	-0.020	-0.016	-0.020	-0.024	0.034	-0.024	0.038	0.326	-0.478	-0.033	0.034	0.037	-0.002	0.002	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	customer_id	account_type	income	credit_score	employment_status	risk_segment	avg_monthly_balance	num_transactions	transaction_amount	transaction_type	transaction_date	txn_location	device_type	has_credit_card	loan_approved	loan_amount	loan_purpose	credit_utilization	default_history	branch_rating	pca_1	pca_2	cluster	income_log	loan_log	month	income_credit_interaction	credit_to_income	txn_intensity	cluster_label
0	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	4049.11	ATM	2025-01-14	Moralesfort	Mobile	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
1	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	3626.64	UPI	2025-01-17	Deborahburgh	Web	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
2	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	7761.47	UPI	2025-01-18	South Adam	Branch	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
3	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	6930.75	ATM	2025-01-19	Marymouth	Branch	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
4	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	19373.61	Debit	2025-01-20	Lake Susanmouth	Branch	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
5	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	7150.20	UPI	2025-01-20	Kellyborough	Mobile	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
6	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	1995.91	ATM	2025-01-20	South Rogerton	Mobile	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
7	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	8947.42	POS	2025-01-20	West Roymouth	Web	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
8	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	705.97	UPI	2025-01-22	Martinstad	Branch	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2
9	CUST00001	Checking	38985.86	727.0	Self-employed	Medium	13080.97	32	66056.37	Credit	2025-01-25	Lake Nicholaschester	Web	1	1	230617.62	Personal	0.92	1	2	-0.204152	0.826732	2	10.57098	12.348521	2025-01	28342720.22	5.915265	0.002446	2

	customer_id	account_type	income	credit_score	employment_status	risk_segment	avg_monthly_balance	num_transactions	transaction_amount	transaction_type	transaction_date	txn_location	device_type	has_credit_card	loan_amount	loan_purpose	credit_utilization	branch_rating	potential_data_leakage	pca_1	pca_2	income_log	loan_log	month	income_credit_interaction	credit_to_income	txn_intensity
99990	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	11081.77	ATM	2025-03-21	Stewartfurt	Branch	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-03	47112875.8	0.684564	0.004167
99991	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	2508.48	POS	2025-03-22	North Christopher	Web	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-03	47112875.8	0.684564	0.004167
99992	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	8548.16	UPI	2025-03-23	South Thomasburgh	Branch	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-03	47112875.8	0.684564	0.004167
99993	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	53260.52	Credit	2025-03-24	Jonesside	Branch	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-03	47112875.8	0.684564	0.004167
99994	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	7456.73	UPI	2025-03-27	Port Tracyport	Branch	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-03	47112875.8	0.684564	0.004167
99995	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	9016.51	ATM	2025-03-29	Madisonburgh	Branch	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-03	47112875.8	0.684564	0.004167
99996	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	9217.11	POS	2025-03-04	Danachester	Mobile	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-03	47112875.8	0.684564	0.004167
99997	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	13560.13	ATM	2025-05-04	New Deanna	Mobile	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-05	47112875.8	0.684564	0.004167
99998	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	4030.95	UPI	2025-07-04	New Mary	Mobile	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-07	47112875.8	0.684564	0.004167
99999	CUST09998	Salary	62401.16	755.0	Employed	Low	6957.69	29	792.06	UPI	2025-07-04	West Garyfurt	Branch	1	42718.3	Home	0.02	4	1	-0.485082	-2.000292	11.041355	10.662406	2025-07	47112875.8	0.684564	0.004167

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category